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A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis.

Authors :
Badihi, Hamed
Zhang, Youmin
Jiang, Bin
Pillay, Pragasen
Rakheja, Subhash
Source :
Proceedings of the IEEE; Jun2022, Vol. 110 Issue 6, p754-806, 53p
Publication Year :
2022

Abstract

Wind turbines play an increasingly important role in renewable power generation. To ensure the efficient production and financial viability of wind power, it is crucial to maintain wind turbines’ reliability and availability (uptime) through advanced real-time condition monitoring technologies. Given their plurality and evolution, this article provides an updated comprehensive review of the state-of-the-art condition monitoring technologies used for fault diagnosis and lifetime prognosis in wind turbines. Specifically, this article presents the major fault and failure modes observed in wind turbines along with their root causes, and thoroughly reviews the techniques and strategies available for wind turbine condition monitoring from signal-based to model-based perspectives. In total, more than 390 references, mostly selected from recent journal articles, theses, and reports in the open literature, are compiled to assess as exhaustively as possible the past, current, and future research and development trends in this substantial and active investigation area. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189219
Volume :
110
Issue :
6
Database :
Complementary Index
Journal :
Proceedings of the IEEE
Publication Type :
Academic Journal
Accession number :
157258640
Full Text :
https://doi.org/10.1109/JPROC.2022.3171691